Nndl alternatives for AI agents.

TensorFlow-based neural network library

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Relax! Flux is the ML library that doesn't make you tensor

JAX-based neural network library

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Deep Learning for humans

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Image augmentation library in Python for machine learning.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。